摘要
针对天波超视距雷达"多路径"引起的航迹聚类问题,提出了一种基于减法聚类的自适应动态航迹聚类算法(ADC),定义了评价航迹聚类算法的两类指标。ADC算法在聚类的过程中,动态调整样本集的大小,在获得聚类中心后,根据最近邻法确定每个样本点的归属。仿真结果表明,ADC算法大大提高了航迹聚类的准确性。
To the problem of track clustering caused by multipath propagation,an adaptive dynamic track cluster（ADC） algorithm was proposed and two indexes to evaluate the performance of track cluster algorithm were defined.The set of sample was changed dynamically in the procedure of cluster.After the cluster centers were acquired,the ADC algorithm determined the sample s class through the nearest neighbor method.Simulation results show that the ADC algorithm can improve the precision of track cluster dramatically.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第16期5240-5243,5246,共5页
Journal of System Simulation
基金
国家自然科学基金重点资助项目(60634030)
国家自然科学基金(60702066)
航空科学基金(2007ZC53037)
高等学校博士学科点专项科研基金(20060699032)
关键词
天波超视距雷达
航迹融合
减法聚类
多路径传播
over-the-horizon radar
track fusion
subtractive clustering
multipath propagation
